We develop a Data-Driven framework for the simulation of wave propagation in viscoelastic solids directly from dynamic testing material data, including data Dynamic Mechanical Analysis (DMA), nano-indentation, Shear Testing (DST) and Magnetic Resonance Elastography (MRE), without need regression or modeling. The problem is formulated frequency domain method solution seeks to minimize distance b...

driven precast reinforced concrete piles (dprcp) is extensively used as a foundation for bridges constructed over canals in egypt in order to avoid the diversion of water canals. the objectives of this research include identifying the main activities of dprcp execution in the bridge-construction industry in egypt and the risk factors affecting them. in addition, assessment of the effects of the...

in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...

runoff simulation is a vital issue in water resource planning and management. various models with different levels of accuracy and precision are developed for this purpose considering various prediction time scales. in this paper, two models of ihacres (identification of unit hydrographs and component flows from rainfall, evaporation and streamflow data) and ann (artificial neural network) mode...